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  1. M

    dummy variable

    In linear regression, I have a categorical independent variable with 4 values (vrnt=1,2,3,4). I have created 4 dummy values (vrnt1 when vrnt=1 else=0, vrnt2 when vrnt=2 else=0, vrnt3=1 when vrnt=3 else=0, vrnt4=1 when vrnt=4 else=0). Reference is vrnt1. I should run linear regression with vrnt2...
  2. M

    Three proportions

    <15 15-44 45+ Female Count 41 39 5 Expected Count 45.0 31.3 8.8 Residual -4.0 7.7 -3.8 Standardized R -.6 1.4 -1.3 Adjusted R -1.3 2.6 -2.0 Male Count 41 18 11 Expected Count 37.0 25.7 7.2 Residual 4.0 -7.7 3.8 Standardized R -.7 -1.5 1.4 Adjusted R 1.3 -2.6 -2.0 df 2 Pearson Chi-Square 8.616...
  3. M

    Three proportions

    You are correct I am trying to find out which group is significant. I am mistaken with p value while writing. It is .013. That is significant. Now looking at the residuals I find 2 groups with adjusted residuals 2 or more. So these are significantly different from other groups? Do I need to do...
  4. M

    Three proportions

    In the manuscript which part of the spss output I should report. The adjusted residual or the whole output or just mentioned the level of significant and the level where AR become 2 or more?
  5. M

    Three proportions

    Thanks. This is useful.
  6. M

    Three proportions

    The adjusted residuals suggest that there are more females in the age group 15-44 (AR 2.6) and more male in the group 45+ (AR 2.0 its positive not negative as I have written in my previous reply). And the difference is significant at p is .013 and likelihood ratio is .012 (i made mistake with a...
  7. M

    Three proportions

    This is the SPSS output. How do I interpret the table below for residuals and p-value? Thanks. Age group <15 15-44 45+ Female Count 41 39 5 Expected Count 45.0 31.3 8.8 Residual...
  8. M

    Three proportions

    This is the SPSS output. How do I interpret the table below for residuals and p-value? Thanks. Age group <15 15-44 45+ Female Count 41 39 5 Expected Count 45.0 31.3 8.8 Residual...
  9. M

    Three proportions

    Thanks. This is a real life project. The paper helped me to understand the concept and various tests involved. But not answering my question directly that is which group is significantly different from others? Practical help is appreciated.
  10. M

    Three proportions

    Thank you. But it does not answer my question which one is significant.
  11. M

    Three proportions

    The objective is to see if there is a difference by gender between these groups and find the group which is significantly different from others. I have sent you the table. Can you please run and show me the output and residuals to identify the significant one? Thanks for your help.
  12. M

    Three proportions

    Please find the table below: Age group Male Female Total <15 41 41 15-44 18 39 45+ 11 5...
  13. M

    Three proportions

    Age group Male Female <15 41 41 15-44 18 39 45+ 11 5...
  14. M

    Three proportions

    Which test is use to identify significant group among three group of proportions? By doing individual chi square, z test for proportion or logistic regression using dummy variable?